Senior AI Cloud Deployment Engineer (SRE)

Worky; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Strong benefits plan

Professional development

Job summary

Mirantis, a Kubernetes-native AI infrastructure leader, seeks a Senior AI Deployment Engineer to design, deploy, and operate cloud AI solutions built on CNCF ecosystems. You will mentor teams, collaborate with global stakeholders, and ensure reliable, secure infrastructure at scale.

You will work with cutting-edge NVIDIA hardware, driving automation across the DevOps lifecycle while staying ahead of industry trends and open-source innovations.

Qualifications

• 5+ years in DevOps with cloud/infrastructure focus (Kubernetes/OpenStack).
• Experience with data center processing, networking, and storage.
• Proficiency in Golang, Python, and JavaScript basics.
• Strong distributed systems, microservices, and CI/CD knowledge.
• Ability to lead tasks and work with diverse teams.

Responsibilities

• Design, deploy, and manage cloud-based AI infrastructure with CNCF tech.
• Mentor engineers and customers on best practices and implementations.
• Collaborate with stakeholders to refine technical requirements.
• Improve performance, reliability, and security of systems.
• Participate in code reviews and stay current with industry trends.
• Drive AI-driven automation across the DevOps lifecycle.

Skills

DevOps

Cloud infrastructure

CI/CD pipelines

Distributed systems

Leadership

Customer-facing communication

English communication

Problem-solving

Travel willingness

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

OpenStack

Golang

Python

Linux

Job description

Mirantis, a Kubernetes-native AI infrastructure leader, seeks a Senior AI Deployment Engineer to design, deploy, and operate cloud AI solutions built on CNCF ecosystems. You will mentor teams, collaborate with global stakeholders, and ensure reliable, secure infrastructure at scale.

You will work with cutting-edge NVIDIA hardware, driving automation across the DevOps lifecycle while staying ahead of industry trends and open-source innovations.